quadprog.solve.QP: Quick Quadratic Programming Solver.

Description Usage Arguments Details Value References See Also

View source: R/quadprog.solve.QP.R

Description

quadprog.solve.QP solves a quadratic programming in form of min(-d^T b + 1/2 b^T D b) with the constraints A^T b ≥ b_0.

Usage

1
quadprog.solve.QP(Dmat, dvec, Amat, bvec, meq=0, factorized=FALSE)

Arguments

Dmat

matrix appearing in the quadratic function to be minimized.

dvec

vector appearing in the quadratic function to be minimized.

Amat

matrix defining the constraints under which we want to minimize the quadratic function.

bvec

vector holding the values of b_0 (defaults to zero).

meq

the first meq constraints are treated as equality constraints, all further as inequality constraints (defaults to 0).

factorized

Not implemented. Must be set to false.

Details

This function is a thin wrapper around QP.Solve, for compatibility with quadprog package.

Value

a list with the following components:

solution

vector containing the solution of the quadratic programming problem.

value

not implemented. Contains NULL.

unconstrained.solution

not implemented. Contains NULL.

iterations

not implemented. Contains NULL.

Lagrangian

not implemented. Contains NULL.

iact

not implemented. Contains NULL.

References

quadprog: Functions to solve Quadratic Programming Problems. R package version 1.5-5. http://CRAN.R-project.org/package=quadprog

See Also

quadprog package, QP.Solve


fnoorian/quadprogpp documentation built on Nov. 15, 2020, 5:04 a.m.